Documentation on new GWAS Summary Statistics Standard
☆24Nov 19, 2025Updated 3 months ago
Alternatives and similar repositories for gwas-summary-statistics-standard
Users that are interested in gwas-summary-statistics-standard are comparing it to the libraries listed below
Sorting:
- Genetic correlation calculation pipeline via summary statistics for PheWeb☆13Mar 22, 2019Updated 6 years ago
- Fine-tuning polygenic risk score models using GWAS summary statistics☆54Oct 19, 2025Updated 4 months ago
- Convert GWAS summary statistics to VCF☆48Mar 11, 2023Updated 2 years ago
- SCALLOP-INF analysis☆20Oct 24, 2025Updated 4 months ago
- metaUSAT is a data-adaptive statistical approach for testing genetic associations of multiple traits from single/multiple studies using u…☆21May 27, 2021Updated 4 years ago
- ☆38Jan 20, 2021Updated 5 years ago
- MultiSuSiE is a multi-ancestry extension of the Sum of Single Effects model☆16Feb 15, 2026Updated 3 weeks ago
- GWAS Summary Statistics Data Harmonisation☆25Jan 7, 2026Updated 2 months ago
- Leveraging functional information to improve GWAS summary statistic imputation☆19Aug 10, 2021Updated 4 years ago
- Harmonise GWAS summary statistics against a reference VCF☆41Jun 15, 2021Updated 4 years ago
- Variational Inference of Polygenic Risk Scores☆28Apr 22, 2025Updated 10 months ago
- ☆103Jun 26, 2022Updated 3 years ago
- hJAM is a hierarchical model which unifies the framework of Mendelian Randomization and Transcriptome-wide association studies.☆10Jan 19, 2024Updated 2 years ago
- Workflow for performing cistrome-wide associations studies☆11Jul 25, 2022Updated 3 years ago
- Statistical fine-mapping pipeline in FinnGen☆32Oct 3, 2025Updated 5 months ago
- ☆13Jun 15, 2022Updated 3 years ago
- ☆12Jun 16, 2023Updated 2 years ago
- Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses☆13May 17, 2023Updated 2 years ago
- Software to infer latent pleiotropic components from GWAS summary data☆15Jan 30, 2025Updated last year
- This is a repository to help make plots similar to Figure 2 in https://www.biorxiv.org/content/10.1101/388165v3☆13Mar 14, 2019Updated 6 years ago
- ☆12Aug 3, 2025Updated 7 months ago
- Data and code for the Effector index☆14Oct 13, 2020Updated 5 years ago
- Workbench demo project: cross-analysis of AoU and UKB.☆14May 2, 2023Updated 2 years ago
- Codes for our NPNT paper at Nature Metabolism☆16Feb 9, 2024Updated 2 years ago
- pandasGWAS: a Python package for easy retrieval of GWAS Catalog data☆17Dec 19, 2025Updated 2 months ago
- Stratified squared trans-ethnic genetic correlation☆14May 12, 2022Updated 3 years ago
- Modeling and Analysis of (Statistical) Genetics data in python☆16Jun 12, 2025Updated 8 months ago
- RSparsePro for robust fine-mapping in the presence of LD mismatch☆15Nov 4, 2024Updated last year
- Implemention of Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture. (Nature Genetics 20…☆15Sep 5, 2019Updated 6 years ago
- The gsmr R-package implements the GSMR (Generalised Summary-data-based Mendelian Randomisation) method that uses GWAS summary statistics …☆20Apr 26, 2024Updated last year
- R package to perform two-sample Mendelian Randomisation (MR) analyses using (potentially) overlapping samples☆68Jan 9, 2025Updated last year
- PRS pipeline using PRS_CS☆15Oct 21, 2025Updated 4 months ago
- A statistical test of pleiotropic effect of a genetic variant on two traits using GWAS summary statistics☆39Sep 18, 2025Updated 5 months ago
- R package for investigating clustered heterogeneity in Mendelian randomization (MR) analyses.☆17Oct 15, 2021Updated 4 years ago
- A package for MR Practical Sessions☆20Apr 15, 2020Updated 5 years ago
- Pan-transcriptomic phenotyping☆18Updated this week
- Estimate local SNP heritability and genetic covariance from GWAS summary association statistics.☆42May 2, 2018Updated 7 years ago
- https://jinghuazhao.github.io/pQTLtools/☆23Mar 25, 2025Updated 11 months ago
- Here we develop the software for the method LDpredfunct described in https://www.biorxiv.org/content/early/2018/07/24/375337☆18Aug 30, 2024Updated last year